How to use JohanP/streamdeckelgato with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JohanP/streamdeckelgato") prompt = "STRMDCK" image = pipe(prompt).images[0]
Trained on local with FluxGym
You should use STRMDCK to trigger the image generation.
STRMDCK
Base model
